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```
library(RCurl)
library(nlme)
library(clubSandwich)
### get data
tmp
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Thank you for your great work!
Could you give the hyperparameters (like **learning rate**, **batch size**, **crop size**, and **step number**) that can reproduce the paper data in three finetuning…
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We currently have the open field variables (% time in center, distance traveled) treated as a single summary value for each animal (the average or sum across minutes 2-5), but there is actually some i…
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I suggest that the starting point is what Cassandra, Hu, and I used in https://github.com/fsolt/dcpo_dem_mood, but an alternative is go with `brms` as in https://github.com/fsolt/dcpo_macrointerest. …
fsolt updated
4 months ago
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Using the work template left from last year the captions for figures and tables were linked to the multilevel list used for the main headings.
Politely put, its a bit tricky to use. I'd be more in…
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It'd be nice to have the option for cluster-robust standard errors for ordinal data (when using WLSMV). Much of my data are ordinal and nested, so this is the primary issue that prevents me from makin…
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I have a particular problem that requires a piece-wise approximation of similar datasets.
My current solution is to process the data one by one,
next I extract the slopes, find the average and the…
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I am seeing several exceptions (see attached log) relating to missing data on the cloned tokens produced by Multilevel Tokens (v1.4.1)**From**: stevenevans1966wfrp4e: 3.5.1wfrp4e-core: 1.3.3wfrp4e-dot…
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1.(HMMR) Learning 3d human dynamics from video(2019)
temporal encoder: **1D temporal** convolutional layers, **precompute** the image features on each frame, get current and ±∆t frames prediction.
c…
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* Add a basic line plot of the `opposites_pp` data at the top of the chapter, something like
```{r}
opposites_pp %>%
ggplot(aes(x = time, y = opp, group = id)) +
geom_line(size = 1/4, alpha…